Master of Science in Mathematics,

 

Option in Applied Statistics

 

Professional Accelerated One-Year Program

 

(UPDATED January 5, 2009)

 

Fall 2008 (1st part of Fall) Course Info

Fall 2008 (2nd part of Fall) Course Info 

Winter 2009 Course Info   

Spring 2009 Course Info   

Summer 2009 Course Info

      Application Info
 

Take advantage of this new professional-level accelerated program

offered through the Department of Mathematics and Statistics at

 California State University, Long Beach.

 

This program has a flexible format so you can take courses at a faster pace and finish in one year (accelerated), or go at a slower pace and finish in two years.

 

Who Should Attend?

 

Individuals with a background in mathematics or quantitative applications such as:

 

. Engineering

 

. Banking/Finance

 

. Computer Science/IT

 

. Pharmaceuticals/Medical

 

Software:

you will use the latest statistical software such as:

 

·      SAS

·      MATLAB

·      SPSS

·      and Minitab

 

Program Features

 

. Accelerated schedule-four sessions (Fall, Winter, Spring, and Summer)

 

. You will take no more than two courses at a time.

  If you wish, you can take only one at a time and go at a slower pace.

. Early evening courses offered at CSULB campus

 

. Course work can be completed in one year

 

Fall 2008 (1st part) Course Info     Fall 2008 (2nd part) Course Info  

Winter 2009 Course Info   Spring 2009 Course Info   

Summer 2009 Course Info

      Application Info
 

 

Program Requirements-30 Units Total

 

(9 core units, 18 elective units, 3 project units)

  

Core Courses-Three Courses, 9 Units:

. Experimental Design

. Regression Analysis

. Statistical Inference

 

Electives-Six Courses, 18 Units selected from:

. Computational Statistics

. Data Mining

. Multivariate Statistics

. Nonparametric Statistics

. Random Processes

. Statistical Analysis of Medical Data

. Statistical Quality Control

. Statistical Simulation

. Survey Sampling

. Time Series

. Special topics including Reliability, Six Sigma, and more

 

Final Project-3 Units:

Complete a statistical project with a company under the guidance of a faculty advisor in statistics


 

(Note: Updated January 5, 2009)

Fall 2008 courses

 

1st part of Fall semester, starting in September

 

* Mathematical Statistics (STAT 381) ( 9/3//2008 - 10/8/2008) for those who haven't taken STAT 381

    Class number 12071 / section number 03

 Week 1 Wednesday Sept 3, Thursday Sept 4

 Weeks 2-6

 Monday:      Sept 8, 15, 22, 29, Oct 6

 Wednesday: Sept 10, 17, 24, Oct 1, 8

 Thursday:     Sept 18, Oct 2

 Book for STAT 381

Title: Introduction to Mathematical Statistics and Its Applications, An (4th Edition)

Authors: Richard Larsen and Morris Marx

Publisher: Prentice Hall; 4 edition (December 10, 2005)

ISBN-13: 978-0131867932

* Data Analysis with SAS (STAT 475) ( 9/8/2008 - 10/6/2008)

         Class number 11918 /section number 02

          *(start at 5:15pm on Monday Sept 8, 15, 22, 29 and Wednesday Sept 10, 17, 24, and Oct 1, 6)*

Book for STAT 475 Data Analysis with SAS

Title:  The Little SAS Book: A Primer, Third Edition

by Lora D. Delwiche and Susan J. Slaughter
SAS Publishing © 2003 (352 pages)
ISBN:9781590473337
     

(1 week break) (Oct 6 - Oct 10, 2008)

 

2nd part of Fall Semester 2008

* Regression Analysis (STAT 510) (10/16/2008 - 12/19/2008)

   Class number 11931 /section number 02

    (10 weeks, one night a week)

    (Meets Thursdays, Oct 16-Dec 18; Note: class on Tuesday Nov 25 instead of Thursday Nov 27)

Book for STAT 510 Regression Analysis

Title: Applied Linear Statistical Models 5e
Author: Kutner et. al 
Publisher: McGraw-Hill/Irwin    Year: 2005
ISBN-13: 9-780073-108742

 

* Experimental Design (STAT 530) (10/13/2008 - 12/19/2008 )

Class number 11919 / Section number 02

    (10 weeks, one night a week)

    (Meets Mondays Oct 13- Dec 15)

Book for STAT 530 Experimental Design

Title: Applied Linear Statistical Models, 5th edition (note: same book as in STAT 510)
Author: Kutner et al
Publisher: McGraw-Hill Irwin  Year: 2005
ISBN-13: 9-780073-108742

 

* Directed Study (STAT 697) (10/13/2008 - 12/19/2008)

  Class number 11926 / section number 07


 

(2 week winter break, Dec 22, 2008 -Jan 2, 2009)

 

Winter 2009 Courses

(8 weeks, each course one night a week)

 

(Mondays at 5pm from Jan 5-Feb 23, 2009) 

● Statistical Inference (STAT 520)

    

        Class # 10313, Course: STAT 520, section 1, 3 units

        Book for STAT 520

Title:  Introduction to Mathematical Statistics, 6th Edition

Authors: Hogg, Craig, and McKean

Year: 2004

Publishers: Prentice Hall

ISBN-13:   978-0130085078

 

     (Wednesdays at 5pm from Jan 7-Feb 25, 2009)

     

Survey Sampling (STAT 540) ( 1/5/2009 - 2/27/2009)

      

        Class # 10243, Course: STAT 540, section 1,   3 units

Book for STAT 540

Title:  Sampling of Populations:  Methods and Applications, 4th edition

Authors: Levy, Paul and Lemeshow, Stanley

Year: 2008

Publishers: Wiley

ISBN 13: 978-0-470-04007-2

(1 week break) (March 2 -March 6, 2009)

 

Spring 2009 courses

11 weeks (March 9-May 22, 2009)

 (1 week break in semester--no class March 30-April 3, 2009)

Monday nights starting at 5pm on March 9, 2009 through May 18, 2009

Multivariate Statistical Analysis (STAT 550)

   Class # 11043, Course: STAT 550, section 2,   3 units

       Book for STAT 550

Title:

Authors:

Year: 

Publishers:

ISBN-10:

ISBN-13:

 

Wednesday nights (NOTE: starting at 6:30pm), (March 11, 2009 through May 20, 2009)

     

Time Series (STAT 580)

    Class # 11044, Course: STAT 580, section 1,  3 units

       Book for STAT 580 :

Title: Business Forecasting (9th Edition)

Authors: by John E. Hanke & Dean Wichern

Year: 2008

Publishers: Prentice Hall

ISBN-10: 0132301202

ISBN-13: 978-0132301206

       

 

 

 

 

(1 week break) (May 25-May 29, 2009)

 Summer 2009 courses

1st part of Summer Semester 2009

(June 1 - July 17) 7 weeks

7 weeks (first 7 weeks of summer, each course one night a week)

Monday nights starting at 5pm June 1, 2009 Class # TBD, section 1     

● Data Mining (STAT 574)

     Book for STAT 574

     Title: Discovering Knowledge in Data: An Introduction to Data Mining

     Author:  Daniel T. Larose.
     Year: (2005)

     Publisher:  Wiley

     ISBN-10: 0471666572

     ISBN-13: 978-0471666578

Wendesday nights starting at 5pm starting June 3, 2009 Class # TBD, section 1      

● Elective statistics course to be determined

     Book for STAT ??

    Title:

     Author: 

    Year:

     Publisher:

     ISBN-10:

     ISBN-13:

Starting June 8, 2009 Class # TBD section TBD (3 units) (course ends August 21, 2009)

● Thesis or Project (STAT 698)

Starting June 15, 2009 Class # 11586 section 1 (3 units)  (course ends August 21, 2009)

● Directed Study (STAT 697)

 

Summer 2008

1st part of Summer Semester 2008

(June 2 - July 18) 7 weeks

7 weeks (first 7 weeks of summer, each course one night a week)

Monday nights starting at 5pm June 2, 2008 Class # 11436, section 1      (Course ends July 18)

● Data Mining (STAT 574)

     Book for STAT 574

     Title: Discovering Knowledge in Data: An Introduction to Data Mining

     Author:  Daniel T. Larose.
     Year: (2005)

     Publisher:  Wiley

     ISBN-10: 0471666572

     ISBN-13: 978-0471666578

Wendesday nights starting at 5pm starting June 4, 2008 Class # 11435, section 2      ((Course ends July 25)

● Topics in Modern Mathematics (MATH 495)  (note this course is about Six Sigma)

     Book for MATH 495

    Title: The Six Sigma Handbook, 2nd revised edition

     Author:  Thomas Pyzdek

    Year: (2003)

     Publisher: McGraw-Hill

     ISBN-10: 0071410155

     ISBN-13: 978-0071410151

Starting June 16, 2008 Class # TBD section 2 (3 units)  (Course ends August 15)

● Thesis or Project (STAT 698)

Starting June 16, 2008 Class # TBD section 1 (3 units)   (Course ends August 22)

● Directed Study (STAT 697)

 

 


 

 

Application Requirements

 

. Online university application

. Set of transcripts of all schools attended

. Detailed résumé (with all the upper division math/statistics courses from all colleges and universities attended)

. (Note:  GRE not required.)

Transcripts (unofficial are ok) and résumés (only) should be mailed to the program contact:

 

Dr. Alan Safer, Statistics Graduate Advisor

Department of Mathematics and Statistics, CSULB

1250 Bellflower Blvd.

Long Beach, CA 90840-1001

(asafer@csulb.edu

http://www.csulb.edu/depts/stat/accelerated.html

Office: (562) 985-4731 Fax: (562) 985-8227  )

 

&

Have official transcripts sent to the CSULB Admissions Office located at :

Enrollment Services/Admissions

CSU-Long Beach

1250 Bellflower Blvd.

Long Beach, CA 90840.

 

Online Application for Admission into this Professional Accelerated One-Year Program at CSULB

 

The deadline for Spring 2009 application has passed.  (email asafer@csulb.edu if you have questions).

You can apply now for Fall 2009.

NOTE: Since you missed the Spring 2009 deadline, you can still take up to 9 credits (3 graduate statistics courses) in the Spring 2009 semester through open university and have them count towards your degree when you are admitted in the MS Applied Statistics degree program.  Just apply now for Fall 2009.

 

Use "CSU Mentor-Apply Online."

 

Please keep your credit card info on hand for paying the $55 Application Processing Fee.

 

    Process guide for applying online:

 

1. Go to CSU Mentor web site: www.csumentor.edu

2. Select "Apply Online"-www.csumentor.edu/AdmissionApp/

3. Click on "Graduate Admission Applications-Apply Online"

4. Click on the "2009-2010" box for graduate applicant (for enrolling in Fall 2009)

5. Create an account if you're a first-time CSUMentor user

6. On the first section of the application-Enroll­ment Information-please pay attention to the following fields:

    . Term applying for-select the correct term.

    . Then click on the box "Select a campus and major."

    . Select "Special Sessions Degree Program" then click "Set Campus."

    . Intended Major box will appear. Select "MathApplied Statistics MS," click "Set Major."

 

1. Make sure to answer all the questions.

2. Click "Submit" when the application is completed.

3. Remember to print a copy of the application confirmation number. You can also print a copy of your

    application for your records.